In this article, we give the analogous conditions an integral operator ( , , , ) H k N m z defined by the hypergeometric distribution
belong to the ( , ) T and C .
Due to these constraints, auditors usually use a different distribution--most often the binomial distribution--as an approximation of the hypergeometric distribution
The hypergeometric distribution
is a discrete probability distribution that provides the number of successes in a sequence of n draws from a finite population without replacement.
A potential problem of significance testing using GO annotations is that the hypergeometric distribution
p-values are biased and sensitive to the total genes (m) used in the tests, which are not truly representing the entire genome because of the selection biases in array design and incomplete process of GO annotation.
Tests assume that successful interventions follow a hypergeometric distribution
Example of Analysis of Initial Hires of Salespersons Using the Hypergeometric Distribution
Unadjusted for Job Related Factors
Unfortunately, the hypergeometric distribution
is generally intractable.
The essence of the increasingly crowded quadrat problem is that the target area for the random occurrence of each additional organism decreases with increasing quadrat occupancy, a pattern that calls for the conditional probabilities of the hypergeometric distribution
, rather than the constant probabilities of the binomial.
Though this is consistent with the traditional model, it provides no help for those seeking to set a lot size associated with sporadic orders small enough to require use of the hypergeometric distribution
in determination of [P.